library(tidyverse)
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library(p8105.datasets)
library(plotly)
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## layout
Focus on NYC Airbnb data
data("nyc_airbnb")
nyc_airbnb =
nyc_airbnb |>
mutate( star = review_scores_location /2 ) |>
select(
borough = neighbourhood_group,
neighbourhood,
star,
price,
room_type,
lat,
long
) |>
drop_na() |>
filter(
borough == "Manhattan",
room_type == "Entire home/apt",
price %in% 100:500
)
Let’s make a scatterplot!
nyc_airbnb |>
mutate(
text_label = str_c("Price: $", price, "\nRating:", star)
) |>
plot_ly(
x = ~lat, y= ~long, color = ~price, text = ~text_label,
type = "scatter", mode = "markers", alpha = 0.5
)
Let’s make a boxplot next!
nyc_airbnb |>
mutate(neighbourhood = fct_reorder(neighbourhood, price)) |>
plot_ly(
y = ~price, color = ~neighbourhood,
type = "box", colors = "viridis"
)
Let’s make a bar plot!
nyc_airbnb |>
count(neighbourhood) |>
mutate(
neighbourhood = fct_reorder(neighbourhood, n)
) |>
plot_ly(
x = ~neighbourhood, y = ~n, color = ~neighbourhood,
type = "bar", colors = "viridis"
)
Prof: don’t really use it
ggp_scatter =
nyc_airbnb |>
ggplot(aes(x = lat, y = long, color = price)) +
geom_point()
ggplotly(ggp_scatter) #Convert